Zhuoyuan Mao

EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning

2024 · IEEE/ACM Transactions on Audio Speech and Language Processing

Massively multilingual sentence representation models, e.g., LASER, SBERT-distill, and LaBSE, help significantly improve cross-lingual downstream tasks. However, the use of a large amount of data or inefficient model architectures results in heavy computation to train …